Lightning information for use in power systems analysis: how much more do we need to know?

Lightning-related behaviors of electric power systems can now be explained by a variety of concepts and models. Over the last 25 years, real-time lightning detection systems have contributed to our ability to use this knowledge in a number of practical ways. Although many applications of lightning information do not require detailed models or parameters measurement, a number of quantitative applications related to "cause and effect" do. In these cases, there is a mismatch between the number and specificity of the parameters of the models, and our ability to measure these parameters using today's practical lightning detection systems. This paper briefly discusses the lightning parameters that affect power system performance, and what real-time information we are able to obtain with today's lightning detection technologies. The paper concludes with some thoughts about what could be the next steps in improving the information provided by real-time lightning detection systems, if such improvements are really needed.

[1]  Masaru Ishii,et al.  Propagation effect on field waveforms in relation to time‐of‐arrival technique in lightning location , 1998 .

[2]  Vladimir A. Rakov,et al.  Lightning discharges triggered using rocket-and-wire techniques , 1999 .

[3]  K. Berger.  Parameters of lightning flashes , 1975 .

[4]  Eiichi Zaima,et al.  Observation of current waveshapes of lightning strokes on transmission towers , 2000 .

[5]  Richard E. Orville,et al.  Delimiting ``Thunderstorm Watch'' Periods by Real-Time Lightning Location for a Power Utility Company , 1990 .

[6]  T. Shindo,et al.  Two types of lightning discharges to a high stack on the coast of the sea of Japan in winter , 1997 .

[7]  R. Samm,et al.  Lightning detection network averts damage and speeds restoration , 1996 .

[8]  Steven A. Rutledge,et al.  Cloud-to-Ground Lightning Activity in the Contiguous United States from 1995 to 1999 , 2001 .

[9]  Kenneth L. Cummins,et al.  The U.S. National Lightning Detection NetworkTM and Applications of Cloud-to-Ground Lightning Data by Electric Power Utilities , 1998 .

[10]  M. Z. I. Sarkar,et al.  LIGHTNING INDUCED OVER VOLTAGES ON OVERHEAD DISTRIBUTION LINES INCLUDING LOSSY GROUND EFFECTS , 2004 .

[11]  P. Jamason,et al.  Performance evaluation of the U.S. National Lightning Detection , 1998 .

[12]  Walter A. Lyons,et al.  Large Peak Current Cloud-to-Ground Lightning Flashes during the Summer Months in the Contiguous United States , 1998 .

[13]  J. Wiesinger,et al.  Lightning current and magnetic field parameters caused by lightning strikes to tall structures relating to interference of electronic systems , 1998 .

[14]  K. Cummins,et al.  Combined Satellite- and Surface-Based Estimation of the Intracloud Cloud-to-Ground Lightning Ratio over the Continental United States , 2001 .

[15]  Masaru Ishii,et al.  Preliminary Evaluation of Performance of Japanese Lightning Detection Network , 2001 .

[16]  Kenneth L. Cummins,et al.  A Combined TOA/MDF Technology Upgrade of the U.S. National Lightning Detection Network , 1998 .

[17]  William R. Burrows,et al.  The North American Lightning Detection Network (NALDN)—First Results: 1998–2000 , 2002 .

[18]  Martin A. Uman,et al.  Natural and artificially-initiated lightning and lightning test standards , 1988, Proc. IEEE.

[19]  Gerhard Diendorfer,et al.  Evaluation of lightning location data employing measurements of direct strikes to a radio tower , 2002 .

[20]  E P Krider,et al.  Natural and Artificially Initiated Lightning , 1989, Science.

[21]  J. G. Kappenman,et al.  Location-centered mitigation of lightning-caused disturbances , 1996 .

[22]  M. Ianoz,et al.  Lightning-induced voltages on overhead lines , 1993 .